US8692910B2 - Image processing device, image signal correction method, correction matrix calculation method, and imaging device - Google Patents

Image processing device, image signal correction method, correction matrix calculation method, and imaging device Download PDF

Info

Publication number
US8692910B2
US8692910B2 US12/835,953 US83595310A US8692910B2 US 8692910 B2 US8692910 B2 US 8692910B2 US 83595310 A US83595310 A US 83595310A US 8692910 B2 US8692910 B2 US 8692910B2
Authority
US
United States
Prior art keywords
image
color
correction
group
pixel
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US12/835,953
Other languages
English (en)
Other versions
US20100277626A1 (en
Inventor
Koichiro Yoshino
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Olympus Corp
Original Assignee
Olympus Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Olympus Corp filed Critical Olympus Corp
Assigned to OLYMPUS CORPORATION reassignment OLYMPUS CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: YOSHINO, KOICHIRO
Publication of US20100277626A1 publication Critical patent/US20100277626A1/en
Application granted granted Critical
Publication of US8692910B2 publication Critical patent/US8692910B2/en
Assigned to OLYMPUS CORPORATION reassignment OLYMPUS CORPORATION CHANGE OF ADDRESS Assignors: OLYMPUS CORPORATION
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details
    • H04N17/002—Diagnosis, testing or measuring for television systems or their details for television cameras
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/80—Camera processing pipelines; Components thereof
    • H04N23/84—Camera processing pipelines; Components thereof for processing colour signals
    • H04N23/85—Camera processing pipelines; Components thereof for processing colour signals for matrixing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/67—Circuits for processing colour signals for matrixing

Definitions

  • the present invention relates to an image signal correction method that corrects a color image signal, a correction matrix calculation method that is used when correcting a color image signal, and an image processing device and an imaging device that employ the image signal correction method.
  • color-mixing a phenomenon in which light passing through a color filter for a pixel adjacent to a pixel of interest intrudes on the pixel of interest, thereby shifting the spectral characteristics of the pixel of interest from what was intended, is referred to as “color-mixing” hereinafter.
  • the changes in spectral characteristics due to color-mixing are also greatly influenced by variations in the width, thickness, etc. of individual color filters due to manufacturing conditions.
  • Japanese Patent No. 3755921 discloses a method in which an image of a subject is captured assuming a reference image capturing environment, and correction is performed by multiplying the image signals by correction coefficients so that output signals for the subject become uniform.
  • a first aspect of the present invention is an image processing device that includes a judgment unit that judges to which group individual pixels of a color image belong, the group being a group among a plurality of groups determined in accordance with the arrangement of color filters, and the color image being an image generated based on output signals from an image acquisition element having the color filters in prescribed arrays; a storage unit in which the groups are stored in association with correction matrices; and a correction unit that obtains the correction matrices corresponding to the groups to which each of the pixels belongs from the storage unit and that corrects types of image signals targeted for correction by using the correction matrices obtained and all types of image signals in the individual pixels.
  • a second aspect of the present invention is an image signal correction method that includes judging to which group individual pixels of a color image belong, the group being a group among a plurality of groups determined in accordance with the arrangement of color filters, and the color image being an image generated based on output signals from an image acquisition element having the color filters in prescribed arrays; obtaining correction matrices corresponding to the groups to which each of the pixels belongs from a storage unit where the groups and correction matrices are stored in association with each other; and correcting types of image signals targeted for correction by using the correction matrices obtained and all types of image signals in the individual pixels.
  • a third aspect of the present invention is a correction matrix calculation method used when correcting a color image generated based on output signals from an image acquisition element having color filters in prescribed arrays, the correction matrix calculation method including obtaining color images by capturing images of a plurality of color charts having different spectral characteristics by using the image acquisition element; and calculating the correction matrices, when individual pixels of the color images are divided into a plurality of groups determined in accordance with the arrangement of the color filters, such that at least one type of image signal values, of multiple types of image signal values, with respect to each color chart substantially match between at least two groups.
  • a fourth aspect of the present invention is an imaging device that includes an image acquisition element having color filters in prescribed arrays; a judgment unit that judges to which group individual pixels of a color image belong, the group being a group among a plurality of groups determined in accordance with the arrangement of the color filters, and the color image being an image generated based on output signals from the image acquisition element; a storage unit in which the groups are stored in association with correction matrices; and a correction unit that obtains correction matrices corresponding to groups to which each of the pixels belongs from the storage unit and that corrects types of image signals targeted for correction by using the correction matrices obtained and all types of image signals in the individual pixels.
  • FIG. 1 is a diagram showing an example of complementary color filters according to a first embodiment of the present invention.
  • FIG. 2 is a diagram comprising and showing an example of spectral characteristics of brightness signals of two pixels.
  • FIG. 3 is a diagram showing an example of brightness signals of individual pixels of a captured image.
  • FIG. 4 is a diagram showing an example of color-difference signals of individual pixels of a captured image.
  • FIG. 5 is a diagram showing an example of image signals to be assigned to individual pixels of a captured image after synchronization processing.
  • FIG. 6 is a diagram showing an example of narrow-band spectral characteristics possessed by a color chart.
  • FIG. 7 is a diagram showing an example of a color chart.
  • FIG. 8 is a diagram showing the configuration of an imaging device according to the first embodiment of the present invention.
  • FIG. 9 is a flow chart showing a procedure of an image signal correction method according to the first embodiment of the present invention.
  • FIG. 10 is a diagram showing an example of primary color filters according to a second embodiment of the present invention.
  • FIG. 11 is a diagram showing an example of image signals to be assigned to individual pixels of a captured image when the synchronization processing is performed on image signals generated using the primary color filters shown in FIG. 10 .
  • FIG. 1 is a diagram showing an example of the complementary color filters that are two-dimensionally arrayed on the front surface of an image acquisition element, such as a color CCD, etc.
  • the complementary color filters are configured by arranging basic arrays 1 repeated in horizontal and vertical directions, in which color filters of four colors (magenta (Mg), green (Gr), cyan (Cy), and yellow (Ye)) are regularly arranged.
  • Mg magenta
  • Gr green
  • Cy cyan
  • Ye yellow
  • each color filter is given a suffix “1” or “2” depending on differences in adjacent color filter arrays. Filters having different suffixes indicate that they have different spectral characteristics due to the influence of color-mixing.
  • the brightness signals of the individual pixels are created based on the following Expression (1) using output signals from 2 ⁇ 2 color filters that constitute the complementary color filters.
  • Y (n, m) represents a brightness signal of a pixel (pixel of interest) in n-th row and m-th column
  • CF (n, m) represents an output signal of a color filter in the n-th row and m-th column in the captured image.
  • Y ( n,m ) [ CF ( n,m )+ CF ( n+ 1, m )]+[ CF ( n,m+ 1)+ CF ( n+ 1, m+ 1)] (1)
  • a brightness signal Y (n, m) of a pixel (n, m) is expressed by the following Expression (4).
  • Y ( n,m ) [ CF ( n,m )+ CF ( n+ 1, m )+[ CF ( n,m+ 1)+ CF ( n+ 1, m+ 1)] (4)
  • the brightness signals Y of individual pixels ( 1 , 1 ), ( 2 , 1 ), ( 3 , 1 ), and ( 4 , 1 ) disposed in the first column of the captured image are as follows.
  • Y ⁇ ( 3 , 1 ) ⁇ [ CF ⁇ ( 3 , 1 ) + CF ⁇ ( 4 , 1 ) ] +
  • FIG. 2 shows examples of spectral characteristics of the brightness signals Y ( 1 , 1 ) and Y ( 2 , 1 ) for the pixels ( 1 , 1 ) and ( 2 , 2 ). As shown in FIG. 2 , it is clear that the spectral characteristics of brightness signals change in accordance with the positions in the captured image.
  • the brightness signal of the pixel ( 5 , 1 ) in the first row and fifth column is expressed by the following Expression (5).
  • brightness signal Y ( 4 , 1 ) of pixel ( 4 , 1 ) as Y 4 the brightness signals of individual pixels in the captured image are as shown in FIG. 3 .
  • a color difference signal corresponding to a brightness signal Y (n, m) is expressed by one of Cb (n, m) and Cr (n, m) in the following expressions in accordance with the arrangements of the filters.
  • the color difference signal C ( 1 , 1 ) corresponding to Y ( 1 , 1 ) is as follows.
  • C (1,1) [ Mg 1 +Cy 1 ] ⁇ [Gr 1 +Ye 1]
  • the color difference signal C ( 2 , 2 ) corresponding to Y ( 2 , 2 ) is as follows.
  • C (2,2) [ Mg 2 +Ye 1] ⁇ [Gr 2 +Cy 1]
  • the brightness/color noise which is considered a problem in this embodiment, is caused by the spectral characteristics that vary in accordance with position in the captured image. Therefore, in the image signal correction method according to this embodiment, a whole image is divided into four groups where a collection of horizontal lines whose spectral characteristics of brightness/color difference signals are equal is defined as one group, and the brightness/color noise is reduced by correcting individual signals in each group.
  • a correction matrix that makes signal values (Y, Cb, and Cr) of the target group substantially match signal values (Y, Cb, and Cr) of the reference group is created for each target group. Then, by correcting the respective signal values of individual target groups by using these correction matrices, signals of individual groups are made to substantially match each other. Accordingly, it is possible to simultaneously correct the brightness noise and color noise in the entire captured image.
  • Expression (8) shows an example of a correction formula using the correction matrix.
  • Y, Cb, and Cr are signal values before correction and Y c , Cb c , Cr c are signal values after correction.
  • Y i T , Cb i T , and Cr i T represent signal values output from the reference group
  • Y i o Cb i o , and Cr i o represent signal values output from the target groups.
  • n represents the number of color charts.
  • each color chart has a sufficiently small bandwidth of spectral characteristics and, additionally, if the number of color charts used adequately encompasses a spectral sensitivity range of the image acquisition element in question, these correction coefficients make the spectral characteristics of individual signals of the target group close to the spectral characteristics of the reference group; therefore, it is possible to correct the brightness noise and color noise independently of the subject.
  • the correction matrices define the relationship between at least one type of image signal values in the reference group, i.e., one of the brightness signal Y and the color difference signals Cb and Cr, and all types of image signal values in the target groups, i.e. the brightness signal Y and the color difference signal Cb and Cr.
  • correction matrices become correction matrices that make at least one type of image signal values, of multiple types (brightness signal and color difference signal), for each color chart substantially match between at least two groups. Also, if image signals of target groups of a color image are corrected with these correction matrices, such correction matrices can substantially match between average spectral characteristics of pixels belonging to the reference group and average spectral characteristics of pixels belonging to the target groups.
  • correction matrices can be calculated by capturing only the required number of images to guarantee the performance of color charts in accordance with expected subjects, and by performing a similar calculation.
  • the correction matrix was calculated as a linear 3 ⁇ 3 matrix; however, it is also possible to apply non-linear matrix coefficients calculated with the least squares method, including high-order terms which are mutual products of Y i o , Cb i o , and Cr i o .
  • the calculation of the non-linear matrix coefficients is, for example, performed as follows.
  • b 11 to b 36 are coefficients of a 3 ⁇ 6 non-linear matrix.
  • b 11 to b 36 are calculated for when each of the three formulas of Expression (10) is minimized.
  • coefficients of the 3 ⁇ 6 non-linear matrix are calculated in the above-described Expression (10), it is also possible to apply coefficients of a 3 ⁇ 9 non-linear matrix including higher order terms.
  • FIG. 8 is a block diagram showing, in outline, the configuration of an imaging device and an image processing device according to the first embodiment of the present invention.
  • a subject image formed by a lens system 2 is imaged on an imaging plane of an image acquisition element 3 and is converted to electric signals after passing through the individual color filters.
  • the image acquisition element 3 is assumed to be a single-chip CCD having the color difference line-sequential complementary color filters shown in FIG. 1 . Therefore, image signals output from the image acquisition element 3 are YCbCr signals.
  • the image signals obtained in this way are converted to digital signals in an A/D conversion unit 5 . Thereafter, the YCbCr signals are generated for individual pixels in the image in a correction unit 6 by known synchronization processing and are output to a judgment unit 7 .
  • the judgment unit 7 judges to which group of a plurality of groups determined in accordance with arrangement of the color filters each pixel of an input image belongs.
  • the judgment unit 7 holds information in which the positions of individual pixels in a captured image are associated with groups and performs grouping of the individual pixels based on this information.
  • the individual signals of grouped pixels are output to a correction unit 8 .
  • components other than the lens system 2 , the image acquisition element 3 , and the A/D conversion unit 5 perform the functions of the image processing device.
  • a storage unit 13 stores a plurality of correction matrices in association with groups.
  • a control unit 11 supplies a selection unit 12 with information about groups to which individual pixels input to the correction unit 8 belong.
  • the selection unit 12 reads out the correction matrices corresponding to the groups to which the pixels belong from a plurality of correction matrices stored in the storage unit 13 and outputs the read-out correction matrices to the correction unit 8 .
  • the correction unit 8 corrects signal values (brightness signals and color difference signals) of the pixels output from the judgment unit 7 using the correction matrices given by the selection unit 12 .
  • the correction unit 8 corrects the type of pixel values being targeted for correction using the correction matrices and all types of signal values in the pixels. All types of signal values constituting individual pixels can be targeted for correction. That is, in this embodiment, although the brightness signals and color difference signals are corrected separately, in the case of correcting the brightness signals and in the case of correcting the color difference signals, all types of signal values (in this case, the brightness signals and color difference signals) constituting the pixels are used to perform correction.
  • Corrected signal values of individual pixels are output to the image processing unit 9 , are output to the output unit 10 after prescribed image processing is performed, and are then output as a single image.
  • individual pixels are divided into a plurality of groups determined in accordance with the arrangement of correction filters, and correction of the signal values of individual pixels is performed by using different correction matrices for each group.
  • a program for realizing the image signal correction method according to this embodiment is recorded in a computer-readable recording medium, and the following image signal correction method is realized by a CPU that executes the program recorded in this recording medium.
  • FIG. 9 is a diagram showing a flow chart showing a procedure of the image signal correction method according to the first embodiment of the present invention.
  • Step SA 1 unprocessed color image signals and information regarding a plurality of predetermined groups are input in Step SA 1 .
  • Step SA 2 the synchronization processing is performed on the color image signals obtained in Step SA 1 , and brightness signals Y and color difference signals Cb and Cr are generated for all pixels of the color image.
  • Step SA 3 a signal value for one pixel is read out from one frame of image signals generated in Step SA 2 , and, in Step SA 4 , it is determined to which group of the plurality of groups obtained in Step SA 1 this pixel belongs.
  • Step SA 5 a correction matrix corresponding to the group to which this pixel belongs is selected from a plurality of matrices stored in advance.
  • Step SA 6 the signal values of the pixel are corrected using the selected correction matrix.
  • Step SA 7 it is determined whether correction has been completed for all pixels of one frame.
  • Step SA 7 if the above-described signal correction has not been completed for one frame of pixels (“NO” in Step SA 7 ), returning to Step SA 3 , a signal value of a new pixel are read out, and the above-described correction processing is performed on the signal value of this pixel. On the other hand, if the signal correction for one frame of pixels has been completed (“YES” in Step SA 7 ), the processing ends.
  • FIGS. 10 and 11 Next, a second embodiment of the present invention will be described using FIGS. 10 and 11 .
  • an imaging device that employs an image acquisition element having primary color filters will be described.
  • FIG. 10 is an example of primary color filters that are two-dimensionally arrayed on a color CCD.
  • Primary colors, red (R), green (G), and blue (B) are arranged in a Bayer array.
  • Green filters are represented by Gr or Gb depending on differences in adjacent color filters in the horizontal direction, indicating that these two have different spectral characteristics due to the influence of color-mixing.
  • the G signal is considered. For example, assuming that the synchronization processing is performed for the G signal of a pixel having R and B color filters using an average value of four pixels that are adjacent to this pixel at the top, bottom, left, and right, the G signal of a pixel having R and B color filters is always expressed as (Gr+Gb)/2.
  • one of the three divided groups is set as a reference group, the remaining two groups are set as target groups, and correction matrices are created for each target group such that signal values of the target groups substantially match signal values of the reference group. Then, signals of individual groups are substantially matched by individually correcting signal values of target groups using these correction matrices.
  • Expression (11) shows an example of a correction formula using the correction matrix.
  • R, G and B are signal values before correction
  • R c , G c , and B c are signal values after correction.
  • the calculation method for the correction matrix used in Expression (11) the method according to the above-described first embodiment can be used.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Color Television Image Signal Generators (AREA)
US12/835,953 2008-01-23 2010-07-14 Image processing device, image signal correction method, correction matrix calculation method, and imaging device Active 2029-06-14 US8692910B2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
JP2008-012983 2008-01-23
JP2008012983A JP5242180B2 (ja) 2008-01-23 2008-01-23 画像処理装置、画像信号補正方法、補正マトリクス算出方法及び撮像装置
PCT/JP2009/050809 WO2009093588A1 (ja) 2008-01-23 2009-01-21 画像処理装置、画像信号補正方法、補正マトリクス算出方法及び撮像装置

Related Parent Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2009/050809 Continuation WO2009093588A1 (ja) 2008-01-23 2009-01-21 画像処理装置、画像信号補正方法、補正マトリクス算出方法及び撮像装置

Publications (2)

Publication Number Publication Date
US20100277626A1 US20100277626A1 (en) 2010-11-04
US8692910B2 true US8692910B2 (en) 2014-04-08

Family

ID=40901096

Family Applications (1)

Application Number Title Priority Date Filing Date
US12/835,953 Active 2029-06-14 US8692910B2 (en) 2008-01-23 2010-07-14 Image processing device, image signal correction method, correction matrix calculation method, and imaging device

Country Status (3)

Country Link
US (1) US8692910B2 (ja)
JP (1) JP5242180B2 (ja)
WO (1) WO2009093588A1 (ja)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150138319A1 (en) * 2011-08-25 2015-05-21 Panasonic Intellectual Property Corporation Of America Image processor, 3d image capture device, image processing method, and image processing program

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103621070B (zh) * 2011-06-30 2015-05-20 富士胶片株式会社 摄像装置及摄像装置的控制方法
WO2015004886A1 (ja) 2013-07-12 2015-01-15 パナソニックＩｐマネジメント株式会社 撮像装置
US9030580B2 (en) * 2013-09-28 2015-05-12 Ricoh Company, Ltd. Color filter modules for plenoptic XYZ imaging systems
CN117616749A (zh) * 2022-06-17 2024-02-27 北京小米移动软件有限公司 相机模组的色彩校正矩阵标定方法及装置

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06292224A (ja) 1993-03-30 1994-10-18 Sony Corp 色信号補正装置及び方法
JPH09200781A (ja) 1996-01-18 1997-07-31 Chinon Ind Inc 撮像装置
JPH09219866A (ja) 1996-02-13 1997-08-19 Toshiba Corp カラー固体撮像装置
US6034724A (en) 1996-02-29 2000-03-07 Chinon Kabushiki Kaisha Imaging device utilizing a line-crawling correction coefficient
JP2001320722A (ja) 2000-05-12 2001-11-16 Canon Inc 信号処理装置及び信号処理方法
JP2002084547A (ja) 2000-09-06 2002-03-22 Nikon Corp 画像データサイズ変換処理装置、電子スチルカメラ、および画像データサイズ変換処理用記録媒体
JP2005278004A (ja) 2004-03-26 2005-10-06 Fuji Photo Film Co Ltd 色シェーディング補正方法および固体撮像装置
US20060092485A1 (en) * 2004-10-29 2006-05-04 Fuji Photo Film, Co., Ltd. Color signal correcting method, apparatus, and program
US20070040916A1 (en) 2005-08-16 2007-02-22 Fuji Photo Film Co., Ltd. Signal processing method for image capturing apparatus, and image capturing apparatus
JP2007053479A (ja) 2005-08-16 2007-03-01 Fujifilm Holdings Corp 撮像装置の信号処理方法及び撮像装置
US20070195181A1 (en) 2006-02-22 2007-08-23 Kenichi Onomura Electronic image pickup apparatus and electronic image pickup method

Patent Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH06292224A (ja) 1993-03-30 1994-10-18 Sony Corp 色信号補正装置及び方法
JPH09200781A (ja) 1996-01-18 1997-07-31 Chinon Ind Inc 撮像装置
JPH09219866A (ja) 1996-02-13 1997-08-19 Toshiba Corp カラー固体撮像装置
US6034724A (en) 1996-02-29 2000-03-07 Chinon Kabushiki Kaisha Imaging device utilizing a line-crawling correction coefficient
JP3755921B2 (ja) 1996-02-29 2006-03-15 株式会社コダックデジタルプロダクトセンター 撮像デバイスのラインノイズ除去方法及びそれを用いたラインノイズ除去装置
JP2001320722A (ja) 2000-05-12 2001-11-16 Canon Inc 信号処理装置及び信号処理方法
US20020025069A1 (en) 2000-05-12 2002-02-28 Toshiaki Endo Signal processing apparatus and method for reducing generation of false color by adaptive luminance interpolation
US20060132628A1 (en) 2000-09-06 2006-06-22 Nikon Corporation Image data processing apparatus and electronic camera
JP2002084547A (ja) 2000-09-06 2002-03-22 Nikon Corp 画像データサイズ変換処理装置、電子スチルカメラ、および画像データサイズ変換処理用記録媒体
US20020044778A1 (en) 2000-09-06 2002-04-18 Nikon Corporation Image data processing apparatus and electronic camera
US20110216230A1 (en) 2000-09-06 2011-09-08 Nikon Corporation Image data processing apparatus and electronic camera
JP2005278004A (ja) 2004-03-26 2005-10-06 Fuji Photo Film Co Ltd 色シェーディング補正方法および固体撮像装置
US20060092485A1 (en) * 2004-10-29 2006-05-04 Fuji Photo Film, Co., Ltd. Color signal correcting method, apparatus, and program
US20070040916A1 (en) 2005-08-16 2007-02-22 Fuji Photo Film Co., Ltd. Signal processing method for image capturing apparatus, and image capturing apparatus
JP2007053479A (ja) 2005-08-16 2007-03-01 Fujifilm Holdings Corp 撮像装置の信号処理方法及び撮像装置
US20070195181A1 (en) 2006-02-22 2007-08-23 Kenichi Onomura Electronic image pickup apparatus and electronic image pickup method
JP2007228155A (ja) 2006-02-22 2007-09-06 Olympus Imaging Corp 電子撮像装置及び電子撮像方法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
International Search Report and Written Opinion dated Apr. 28, 2009 (in English translation) in counterpart International Application No. PCT/JP2009/050809.
Japanese Office Action dated Oct. 16, 2012 issued in counterpart Japanese Application No. 2008-012983.

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150138319A1 (en) * 2011-08-25 2015-05-21 Panasonic Intellectual Property Corporation Of America Image processor, 3d image capture device, image processing method, and image processing program
US9438890B2 (en) * 2011-08-25 2016-09-06 Panasonic Intellectual Property Corporation Of America Image processor, 3D image capture device, image processing method, and image processing program

Also Published As

Publication number Publication date
JP2009177418A (ja) 2009-08-06
WO2009093588A1 (ja) 2009-07-30
US20100277626A1 (en) 2010-11-04
JP5242180B2 (ja) 2013-07-24

Similar Documents

Publication Publication Date Title
JP5872407B2 (ja) カラー撮像装置及び画像処理方法
US6330029B1 (en) Particular pattern of pixels for a color filter array which is used to derive luminance and chrominance values
EP1679907A1 (en) Hexagonal color pixel structure with white pixels
JP5872408B2 (ja) カラー撮像装置及び画像処理方法
US7847838B2 (en) Noise reduction apparatus, method and program for controlling same, image sensor and digital camera
US7079705B2 (en) Color interpolation for image sensors using a local linear regression method
EP2680589B1 (en) Color imaging device
US8692910B2 (en) Image processing device, image signal correction method, correction matrix calculation method, and imaging device
WO2011152174A1 (ja) 画像処理装置、および画像処理方法、並びにプログラム
US8643742B2 (en) Crosstalk filter in a digital image processing pipeline
US8320714B2 (en) Image processing apparatus, computer-readable recording medium for recording image processing program, and image processing method
JP6074813B2 (ja) カラーフィルタアレイ及び撮像素子
US8982253B2 (en) Color imaging element
US8786738B2 (en) Image sensing apparatus and method of controlling operation of same
EP2031881A1 (en) Image pickup device and signal processing method
JP4190886B2 (ja) イメージセンサにおける緑色の不均一性の防止
EP1389876A1 (en) Colour image sensor with hexagonal shaped pixels
US8976275B2 (en) Color imaging element
EP2728885B1 (en) Imaging device and imaging program
US20030020728A1 (en) Method and apparatus for sensing and interpolating color image data
JP2004519156A (ja) 画像検知器の出力信号用の輪郭フィルタ
JP2005286649A (ja) 色フィルタアレイおよびそれを用いた撮像装置
JP7150515B2 (ja) 撮像素子及び撮像装置
WO2022185345A2 (en) Optimal color filter array and a demosaicing method thereof
WO2006061923A1 (ja) 多分割読出ｃｃｄの補正近似直線群情報生成方法及び多分割読出ｃｃｄの補正処理装置製造方法

Legal Events

Date Code Title Description
AS Assignment

Owner name: OLYMPUS CORPORATION, JAPAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:YOSHINO, KOICHIRO;REEL/FRAME:024682/0428

Effective date: 20100625

STCF Information on status: patent grant

Free format text: PATENTED CASE

FEPP Fee payment procedure

Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

AS Assignment

Owner name: OLYMPUS CORPORATION, JAPAN

Free format text: CHANGE OF ADDRESS;ASSIGNOR:OLYMPUS CORPORATION;REEL/FRAME:039344/0502

Effective date: 20160401

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 4TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1551)

Year of fee payment: 4

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 8